caa a22 4500 467954925 CHVBK 20180323165704.0 cr unu---uuuuu 170328e19890301xx s 000 0 eng 10.1007/BF00116838 doi (NATIONALLICENCE)springer-10.1007/BF00116838 (NATIONALLICENCE)springer-10.1023/A:1022697818275 Conceptual clustering, categorization, and polymorphy [Elektronische Daten] [Stephen Hanson, Malcolm Bauer] In this paper we describeWitt, a computational model of categorization and conceptual clustering that has been motivated and guided by research on human categorization. Properties of categories to which humans are sensitive include best or prototypical members, relative contrasts between categories, and polymorphy (neither necessary nor sufficient feature rules). The system uses pairwise feature correlations to determine the "similarity” between objects and clusters of objects. allowing the system a flexible representation scheme that can model common-feature categories and polymorphous categories. This intercorrelation measure is cast in terms of an information-theoretic evaluation function that directsWitt's search through the space of clusterings. This information-theoretic similarity metric also can be used to explain basic-level and typicality effects that occur in humans.Witt has been tested on both artificial domains and on data from the 1985World Almanac, and we have examined the effect of various system parameters on the quality of the model's behavior. Kluwer Academic Publishers, 1989 Conceptual clustering nationallicence categorization nationallicence correlation nationallicence polymorphy nationallicence knowledge structures nationallicence coherence nationallicence Hanson Stephen Bell Communications Research, 435 South Street, 07960, Morristown, NJ, U.S.A. aut Bauer Malcolm Cognitive Science Laboratory, Princeton University, 221 Nassau Street, 08542, Princeton, NJ, U.S.A. aut Machine Learning Kluwer Academic Publishers 3/4(1989-03-01), 343-372 0885-6125 3:4<343 1989 3 10994 https://doi.org/10.1007/BF00116838 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00116838 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hanson Stephen Bell Communications Research, 435 South Street, 07960, Morristown, NJ, U.S.A aut NATIONALLICENCE 700 1- Bauer Malcolm Cognitive Science Laboratory, Princeton University, 221 Nassau Street, 08542, Princeton, NJ, U.S.A aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 3/4(1989-03-01), 343-372 0885-6125 3:4<343 1989 3 10994 NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022697818275 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hanson Stephen E-mail: JOSE@BELLCORE.COM aut NATIONALLICENCE 700 1- Bauer Malcolm E-mail: MALCOLM@CONFIDENCE.PRINCETON.EDU aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 3/4(1989-03-01), 343-372 0885-6125 3:4<343 1989 3 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer